# vLLM vs TGI: which open-source LLM inference engine wins in 2026?

**Source:** https://promtable.com/compare/vllm-vs-tgi

> vLLM leads on throughput via PagedAttention + continuous batching. TGI (Text Generation Inference) leads on enterprise features + Hugging Face ecosystem fit. Pick vLLM for raw throughput, TGI for HF-native stacks.

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vLLM leads on throughput via PagedAttention + continuous batching. TGI (Text Generation Inference) leads on enterprise features + Hugging Face ecosystem fit. Pick vLLM for raw throughput, TGI for HF-native stacks.

## At a glance

| Dimension | vLLM | TGI (Hugging Face) |
|---|---|---|
| Throughput | **Best in class — PagedAttention** ✓ | Strong, slightly behind vLLM |
| Continuous batching | First class | First class |
| Model coverage | **Broadest open-weight coverage** ✓ | HF Hub native |
| Multi-LoRA serving | **First class** ✓ | Available |
| Enterprise features (auth, RBAC) | Limited — Open SDK | **Stronger via HF Inference Endpoints** ✓ |
| Ecosystem fit | Broad | Tight HF integration |
| Streaming support | Native | Native |
| Best for | Throughput-critical OSS inference | HF-native enterprise deployments |

## Verdict

vLLM is the right pick for throughput-critical open-source LLM serving — PagedAttention plus continuous batching delivers materially higher tokens/second/$ than alternatives. TGI is the right pick when you live in the Hugging Face ecosystem and want tight Hub + Endpoints integration. For raw scale, vLLM. For HF-native production, TGI.

## When to pick which

- **vLLM** — Throughput-critical OSS serving, multi-LoRA, broad model coverage.
- **TGI (Hugging Face)** — HF-native deployments, enterprise features via HF Endpoints.

## FAQ

### vLLM or TGI in 2026?

vLLM for raw throughput; TGI for HF-native fit.

### Cheapest at scale?

vLLM tends to win on throughput/$, but compare on your actual workload.

### Best for multi-LoRA?

vLLM — first-class multi-LoRA hot-swapping.

## Related

- [/glossary/batched-inference](https://promtable.com/glossary/batched-inference)
- [/alternatives/huggingface](https://promtable.com/alternatives/huggingface)
- [/alternatives/ollama](https://promtable.com/alternatives/ollama)

*Last updated: 2026-06-01*
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Original page: https://promtable.com/compare/vllm-vs-tgi
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